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Molecular Mapping of Flowering Time Major Genes and QTLs in Chickpea (Cicer arietinum L.)

Overview of attention for article published in Frontiers in Plant Science, July 2017
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Title
Molecular Mapping of Flowering Time Major Genes and QTLs in Chickpea (Cicer arietinum L.)
Published in
Frontiers in Plant Science, July 2017
DOI 10.3389/fpls.2017.01140
Pubmed ID
Authors

Bingi P. Mallikarjuna, Srinivasan Samineni, Mahendar Thudi, Sobhan B. Sajja, Aamir W. Khan, Ayyanagowda Patil, Kannalli P. Viswanatha, Rajeev K. Varshney, Pooran M. Gaur

Abstract

Flowering time is an important trait for adaptation and productivity of chickpea in the arid and the semi-arid environments. This study was conducted for molecular mapping of genes/quantitative trait loci (QTLs) controlling flowering time in chickpea using F2 populations derived from four crosses (ICCV 96029 × CDC Frontier, ICC 5810 × CDC Frontier, BGD 132 × CDC Frontier and ICC 16641 × CDC Frontier). Genetic studies revealed monogenic control of flowering time in the crosses ICCV 96029 × CDC Frontier, BGD 132 × CDC Frontier and ICC 16641 × CDC Frontier, while digenic control with complementary gene action in ICC 5810 × CDC Frontier. The intraspecific genetic maps developed from these crosses consisted 75, 75, 68 and 67 markers spanning 248.8 cM, 331.4 cM, 311.1 cM and 385.1 cM, respectively. A consensus map spanning 363.8 cM with 109 loci was constructed by integrating four genetic maps. Major QTLs corresponding to flowering time genes efl-1 from ICCV 96029, efl-3 from BGD 132 and efl-4 from ICC 16641 were mapped on CaLG04, CaLG08 and CaLG06, respectively. The QTLs and linked markers identified in this study can be used in marker-assisted breeding for developing early maturing chickpea.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 32%
Student > Ph. D. Student 5 18%
Student > Master 3 11%
Librarian 1 4%
Unspecified 1 4%
Other 3 11%
Unknown 6 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 57%
Biochemistry, Genetics and Molecular Biology 2 7%
Unspecified 1 4%
Computer Science 1 4%
Arts and Humanities 1 4%
Other 0 0%
Unknown 7 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 August 2017.
All research outputs
#13,485,430
of 22,985,065 outputs
Outputs from Frontiers in Plant Science
#6,485
of 20,444 outputs
Outputs of similar age
#158,160
of 313,520 outputs
Outputs of similar age from Frontiers in Plant Science
#205
of 538 outputs
Altmetric has tracked 22,985,065 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,444 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 67% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 313,520 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 538 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.